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This review discusses available risk prediction models for identifying patients at high risk of cardiovascular events following percutaneous coronary intervention.
Since its development, the frequency and indication of percutaneous coronary intervention (PCI) have been increasing tremendously. Although generally the procedure shows promising results, some patients still develop cardiovascular events even after PCI. Some risk prediction models have been developed in order to identify this group of patients who possess higher risk of developing cardiovascular events after PCI. This article discusses the available risk prediction models, the difference between risk prediction models, choosing risk prediction models, and also limitations of the available risk prediction models.
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Setiadi et al. (2009) studied this question.
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